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For: Zhou Y, Lih TM, Pan J, Höti N, Dong M, Cao L, Hu Y, Cho KC, Chen SY, Eguez RV, Gabrielson E, Chan DW, Zhang H, Li QK. Proteomic signatures of 16 major types of human cancer reveal universal and cancer-type-specific proteins for the identification of potential therapeutic targets. J Hematol Oncol 2020;13:170. [PMID: 33287876 DOI: 10.1186/s13045-020-01013-x] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 2.3] [Reference Citation Analysis]
Number Citing Articles
1 Huang L, Sun H, Sun L, Shi K, Chen Y, Ren X, Ge Y, Jiang D, Liu X, Knoll W, Zhang Q, Wang Y. Rapid, label-free histopathological diagnosis of liver cancer based on Raman spectroscopy and deep learning. Nat Commun 2023;14:48. [PMID: 36599851 DOI: 10.1038/s41467-022-35696-2] [Reference Citation Analysis]
2 Thelen M, Keller D, Lehmann J, Wennhold K, Weitz H, Bauer E, Gathof B, Brüggemann M, Kotrova M, Quaas A, Mallmann C, Chon SH, Hillmer AM, Bruns C, von Bergwelt-Baildon M, Garcia-Marquez MA, Schlößer HA. Immune responses against shared antigens are common in esophago-gastric cancer and can be enhanced using CD40-activated B cells. J Immunother Cancer 2022;10. [PMID: 36600602 DOI: 10.1136/jitc-2022-005200] [Reference Citation Analysis]
3 Li Y, Hu F, Deng J, Huang X, Zhou C, Wu M, Duan D. Proteomic analysis of radioiodine-refractory differentiated thyroid cancer identifies CHI3L1 upregulation in association with dysfunction of the sodium-iodine symporter. Oncol Lett 2023;25:36. [PMID: 36589664 DOI: 10.3892/ol.2022.13622] [Reference Citation Analysis]
4 Viol F, Sipos B, Fahl M, Clauditz TS, Amin T, Kriegs M, Nieser M, Izbicki JR, Huber S, Lohse AW, Schrader J. Novel preclinical gastroenteropancreatic neuroendocrine neoplasia models demonstrate the feasibility of mutation-based targeted therapy. Cell Oncol (Dordr) 2022. [PMID: 36269546 DOI: 10.1007/s13402-022-00727-z] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
5 Li X, Kang K, Peng Y, Shen L, Shen L, Zhou Y. Comprehensive analysis of the expression profile and clinical implications of regulator of chromosome condensation 2 in pan-cancers. Aging (Albany NY) 2022;14:9221-42. [PMID: 36441563 DOI: 10.18632/aging.204403] [Reference Citation Analysis]
6 Neagu AN, Jayathirtha M, Whitham D, Mutsengi P, Sullivan I, Petre BA, Darie CC. Proteomics-Based Identification of Dysregulated Proteins in Breast Cancer. Proteomes 2022;10:35. [PMID: 36278695 DOI: 10.3390/proteomes10040035] [Reference Citation Analysis]
7 Xu N, Yao Z, Shang G, Ye D, Wang H, Zhang H, Qu Y, Xu F, Wang Y, Qin Z, Zhu J, Zhang F, Feng J, Tian S, Liu Y, Zhao J, Hou J, Guo J, Hou Y, Ding C. Integrated proteogenomic characterization of urothelial carcinoma of the bladder. J Hematol Oncol 2022;15:76. [PMID: 35659036 DOI: 10.1186/s13045-022-01291-7] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Kitata RB, Yang J, Chen Y. Advances in data‐independent acquisition mass spectrometry towards comprehensive digital proteome landscape. Mass Spectrometry Reviews. [DOI: 10.1002/mas.21781] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Chen SY, Lih TM, Li QK, Zhang H. Comparing Urinary Glycoproteins among Three Urogenital Cancers and Identifying Prostate Cancer-Specific Glycoproteins. ACS Omega 2022;7:9172-80. [PMID: 35350332 DOI: 10.1021/acsomega.1c05223] [Reference Citation Analysis]
10 Li Y, Zhang Y, Pan T, Zhou P, Zhou W, Gao Y, Zheng S, Xu J. Shedding light on the hidden human proteome expands immunopeptidome in cancer. Brief Bioinform 2022:bbac034. [PMID: 35189633 DOI: 10.1093/bib/bbac034] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Arjmand B, Hamidpour SK, Tayanloo-beik A, Goodarzi P, Aghayan HR, Adibi H, Larijani B. Machine Learning: A New Prospect in Multi-Omics Data Analysis of Cancer. Front Genet 2022;13:824451. [DOI: 10.3389/fgene.2022.824451] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
12 Bueschbell B, Caniceiro AB, Suzano PM, Machuqueiro M, Rosário-ferreira N, Moreira IS. Network Biology and Artificial Intelligence Drive the Understanding of the Multidrug Resistance Phenotype in Cancer. Drug Resistance Updates 2022. [DOI: 10.1016/j.drup.2022.100811] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]